Principal Business Data Analyst

VSP Vision Care

. Lead engagements with business leaders and staff to clarify needs and define business requirements for strategic data use; anticipate and propose opportunities for analysis and exploration supporting business optimization and decision-making .

Posted 11/4/2026full-timeRemote • United StatesLead💰 $84,000 - $141,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, statistical modeling, and visualization to drive business optimization and decision-making. Proficient in SQL, data workflows, and collaboration with cross-functional teams to deliver actionable insights and strategic recommendations.

Highest-signal resume keywords

Data Analytics ExperienceSQL ProficiencyStatistical ModelingData VisualizationBusiness Acumen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExplorationStatistical InferenceForecastingRegression ModelsData QueryingData CleansingData ModelingBusiness Performance MonitoringMachine Learning TechniquesData Quality Remediation

Soft Skills

Communication SkillsMentoringCollaborationCuriosityAnalytical Skills

Tools & Technologies

PowerBICognos AnalyticsTableauSASJupyter NotebooksPythonR

Industry Keywords

Financial ManagementRisk AssessmentSupply Chain OptimizationRetail ManagementECommerce ManagementConsumer Behavior AnalysisMarketing OptimizationHealthcare Management

Tech Stack

Tools & technologies

CognosPythonSQLTableau

About the role

Key responsibilities & impact

Lead engagements with business leaders and staff to clarify needs and define business requirements for strategic data use; anticipate and propose opportunities for analysis and exploration supporting business optimization and decision-making
Perform data exploration, analysis and statistical inference to identify and interpret trends and patterns and detect influences, opportunities and risks
Develop forecasts, regression models, what-if scenarios and recommendations for strategic/tactical planning and operational decision-making
Lead creation of dashboards, visualizations and reports for business performance monitoring, automating where possible
Communicate insights effectively to business leaders and colleagues
Collaborate with enterprise analytics and information management teams on business needs for data models, views and data access
Produce business-specific workflows and data models using enterprise analytics and data management tools, including approved external data integration
Develop prototype models joining large volumes of data across multiple domains for use by other analysts
Identify machine learning opportunities and collaborate with Data Scientists to deliver business value
Contribute to data inventory and stewardship, metadata management, data profiling, data quality remediation and data cleansing
Maintain standards for data security and privacy, data management, data quality and data governance

Requirements

What you’ll need

Bachelor’s degree in statistics, analytics, mathematics, economics, computer science or related functional area; or equivalent experience
6+ years of demonstrated data analytics experience including querying and analyzing operational and/or financial data, generating insights and communicating those effectively with colleagues and leaders
Prior experience in successfully leading analytics projects in one or more of the following domains/business functions: Financial Management and Forecasting, Risk Assessment, Insurance Utilization and Pricing, Supply Chain Optimization, Retail Management, eCommerce Management, Consumer Behavior Analysis, Marketing Optimization or Healthcare Management
Proficient in building complex data queries using SQL in order to join, filter, cleanse and aggregate data; understanding of how no/low-code applications apply SQL concepts to do the same
Proficient in designing data workflows and business-oriented data models against relational database structures
Proficient in visualization and dashboard design techniques to create interfaces that monitor business performance against KPIs and highlight trends/patterns
Proficient in using data exploration and analysis platforms such as PowerBI, Cognos Analytics, Tableau, SAS or similar
Experience applying statistical modeling to evaluate complex business problems and develop forecasting and what-if scenarios
Possesses strategic skills, business acumen and curiosity to envision opportunities, document requirements and collaborate for successful outcomes
Capable of mentoring others to elevate the collective skills of the team
Familiarity with Data Science techniques and experience in the use of notebooks (i.e. Jupyter) with programming languages like Python and R
Excellent written and verbal communication, presentation and analytical skills
For roles that are remote (i.e., Work From Home (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment